Intro to multimodal RAG systems

GitHub → https://goo.gle/multimodal-rag More examples of RAG on Google Cloud → https://goo.gle/4ggR83f What is Retrieval-Augmented Generation (RAG) → https://goo.gle/3E6Z8X1 This video is an introduction to Multimodal Retrieval-Augmented Generation (RAG), a system that uses large language models (LLMs) and vector databases to answer questions based on context from both text and images. Watch along and learn the process of building a multimodal RAG system, enabling you to enhance search capabilities and retrieve comprehensive answers to complex questions. More resources: More assets for Gemini on Google Cloud → https://goo.gle/4gjsVJF Watch more AI Guide for Cloud Developers → https://goo.gle/AtoZforAI Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech #GoogleCloud #AIforDevelopers Speaker: Lavi Nigam Products Mentioned: Gemini